Patrick Rehill

Patrick Rehill

he/him

I am a researcher working on causal machine learning methods and policy evaluation, currently based at the RMIT University and Australian Treasury.

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Posts

Future Blog Post

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Blog Post number 4

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Published in , 2015

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Blog Post number 3

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Published in , 2014

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Blog Post number 2

less than 1 minute read

Published in , 2013

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published in , 2012

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publications

Transparency challenges in policy evaluation with causal machine learning: improving usability and accountability

Published in Data & Policy, 2024

This discusses issues around transparency when using causal forest models. It covers both the traditional concerns in machine learning around accountability around letting black-box models make decisions that affect people's lives, and also the need for transparency so decision-makers can actually understand the insights in the causal forest model. It argues that given models are largely not making decisions directly, the greater concern is that models are transparent enough the be usable. It discusses some techniques that could be used to address transparency issues.

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